Analytics Engineer - Operational Excellence
We do not simply analyse buildings, we pilot them with data. At Thermosphr, energy management is entirely data-driven: every control decision, savings calculation and alert relies on building data. A single error can affect twenty buildings at once, and a single fix can scale just as fast.
You join our Operational Excellence team. Your mission: make Energy Managers faster and more reliable by improving their processes and equipping them with the right data tools.
We favour fast delivery: solutions are deployed at 80% and improved continuously. We are a fast-growing company with major scaling challenges: your scope grows with your impact.
What you will do
You own four missions, each with a clear target for your first year.
Catch failures before they cost us. Monitor around 500 pieces of equipment in real time and automate alerts or corrective actions before failures result in data or energy losses. Target: every failure detected within 10 minutes.
Safeguard building performance. Detect when a building’s savings fall below break-even, identify the root cause and escalate it. Target: detection within 4 days.
Predict savings before we sign. Forecast a building’s achievable savings before sale, then calibrate the model against actual results. Target: estimates accurate within 10%.
Give Energy Managers superpowers. Identify the bottlenecks in their daily work, such as manual mapping of BMS points during building onboarding, and equip them with the right data tools. Target: 30% of their time saved.
Across all four, you structure the data our tools rely on and work in fast cycles: an AI-assisted MVP within days, the long-term solution with the Tech team within weeks, and adoption measured once it ships.
Solid data experience: 2-4 years in data or analytics in a demanding environment, ideally a high-growth company. Master’s degree.
Proven delivery: You have designed and delivered a tool people actually use, with measurable impact (adoption, time saved, issues avoided).
Advanced data skills: SQL and Python are second nature. You have worked with tools such as BigQuery, Metabase or Databricks on real operational cases. Beyond dashboards, you model complex data into clean structures, build pipelines and automate manual work.
AI-first approach: You use AI and automation daily to move from idea to working prototype in hours, not weeks.
End-to-end ownership: You coordinate with Tech and Operations until a solution is delivered, adopted and measured.
Relentless curiosity: You need to understand how things really work, down to the last detail. A building’s heating loop, a data anomaly or a broken process: you dig until you find the root cause. No prior experience in real estate or energy required.
Languages: Native or bilingual French, fluent English.
3 interviews
1 case study
1 team meeting in Paris